SwiftMR
AI image optimisation for all
MRI systems
A paradigm shift in MRI diagnostics
SwiftMR represents the latest advancement in medical imaging.
The use of AI and deep learning algorithms can significantly improve image quality. At the same time, advances in medical AI development benefit operators and patients alike. Both benefit from shorter examination times: more patient comfort and tolerance with higher device utilisation.
SwiftMR is shaping the future of medical imaging and redefining standards of care in radiology.
Improving image quality
By precisely analysing and interpreting images, AI algorithms can detect and eliminate image noise. This results in images with added medical value, enabling a more accurate diagnosis.
Reduction of scan times
Another significant advantage of AI in MRI is the drastic reduction in scan times. Traditionally, MRI scans can be time-consuming, which is not only uncomfortable for the patient but also affects efficiency.
By using AI, scan times can be significantly reduced without compromising diagnostic accuracy. This enables faster processing of examinations, which in turn leads to greater patient satisfaction.
Increasing the service life of MRI systems
Another beneficial aspect of integrating AI into MRI is increasing the service life of MRI systems.
Instead of considering cost-intensive hardware upgrades or even new purchases for successor generations with better image quality, existing systems, especially in the low-field range, can very easily be upgraded to a similar image level of 1.5 Tesla systems.